Text Analytics Toolbox

Text Analytics
Toolbox™ provides algorithms and visualizations for preprocessing, analyzing, and
modeling text data. Models created with the toolbox can be used in applications such as
sentiment analysis, predictive maintenance, and topic modeling.

Using machine learning techniques such as LSA, LDA, and word embeddings, you can find
clusters and create features from high-dimensional text datasets. Features created with
Text Analytics
Toolbox can be combined with features from other data sources to build machine
learning models that take advantage of textual, numeric, and other types of data.